Urgent! Machine Learning Engineer - Python Job Opening In Pune – Now Hiring Prime Infosoft
<p><p><b>Description : </b><br/><br/>- Core Responsibilities : <br/><br/> The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency<br/><br/>- Model Development : Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.<br/><br/>- Data Preparation : Prepare, cleanse, and transform data for model training and evaluation.<br/><br/>- Algorithm Implementation : Implement and optimize machine learning algorithms and statistical models.<br/><br/>- System Integration : Integrate models into existing systems and workflows.<br/><br/>- Model Deployment : Deploy models to production environments and monitor performance.<br/><br/>- Collaboration : Work closely with data scientists, software engineers, and other stakeholders.<br/><br/>- Continuous Improvement : Identify areas for improvement in model performance and systems.<br/><br/><b>Skills : </b><br/><br/>- Programming and Software Engineering : Knowledge of software engineering best practices (version control, testing, CI/CD).<br/><br/>- Data Engineering : Ability to handle data pipelines, data cleaning, and feature engineering.
Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph<br/><br/>- Model Deployment and Monitoring : MLOps Experience in deploying ML models to production environments.<br/><br/>- Knowledge of model monitoring and performance evaluation.<br/><br/><b>Required experience : </b><br/><br/>- Amazon SageMaker : Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements<br/><br/>- AWS Cloud Infrastructure : Familiarity with S3, EC2, Lambda and using these services in ML workflows<br/><br/>- AWS data : Redshift, Glue<br/><br/>- Containerization and Orchestration : Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)<br/><br/><b>Skills : </b>Aws, Aws Cloud, Amazon Redshift,Eks<br/><br/><b>Roles and Responsibilities of a Machine Learning Engineer</b><br/><br/>- To research, modify, and apply data science and data analytics prototypes.<br/><br/>- To create and construct methods and plans for machine learning.<br/><br/>- Employing test findings to do statistical analysis and improve models.<br/><br/>- To search the internet for training datasets that are readily available.<br/><br/>- ML systems and models should be trained and retrained as necessary.<br/><br/>- To improve and broaden current ML frameworks and libraries.<br/><br/>- To create machine learning applications in accordance with client or customer needs.<br/><br/>- To investigate, test, and put into practice appropriate ML tools and algorithms.<br/><br/>- To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood.<br/><br/>- To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a models effectiveness when used in practical situations.<br/><br/><b>Skills of an ML Engineer : </b><br/><br/>A person who wants to work as a machine learning engineer needs to possess the following skills and credentials : <br/><br/>- Advanced math and statistics knowledge, particularly in the areas of calculus, linear algebra, and Bayesian statistics.<br/><br/>- Advanced degree in math, computer science, statistics or a related field.<br/><br/>- A masters degree in artificial intelligence, deep learning, or a related discipline.<br/><br/>- Strong teamwork, problem-solving, and analytical skills.<br/><br/>- Abilities in software engineering.<br/><br/>- Knowledge of data science.<br/><br/>- Languages for coding and programming, such as Python, Java, C++, C, R, and JavaScript.<br/><br/>- Practical understanding of ML frameworks.<br/><br/>- Practical familiarity with ML libraries and packages.<br/><br/>- Recognize software architecture, data modelling, and data structures.<br/><br/>- Understanding of computer architecture</p><br/></p> (ref:hirist.tech)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19853 jobs in India and 398 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Prime Infosoft is currently hiring and seeking a Machine Learning Engineer Python to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Prime Infosoft adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Python Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning Engineer Python interview at Prime Infosoft, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Prime Infosoft's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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